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Binary Classification

Papers

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Showing 1451–1500 of 2574 papers

TitleStatusHype
Quantum Learning Theory Beyond Batch Binary Classification—0
Quantum Multiple Kernel Learning—0
Quantum Speedup in Adaptive Boosting of Binary Classification—0
Question-type Identification for Academic Questions in Online Learning Platform—0
RAIDER: Reinforcement-aided Spear Phishing Detector—0
Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection—0
Random Forests and VGG-NET: An Algorithm for the ISIC 2017 Skin Lesion Classification Challenge—0
Ranking via Robust Binary Classification—0
Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data—0
RaScaNet: Learning Tiny Models by Raster-Scanning Images—0
Rashomon effect in Educational Research: Why More is Better Than One for Measuring the Importance of the Variables?—0
Ratio law: mathematical descriptions for a universal relationship between AI performance and input samples—0
Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion—0
Real-Time Moving Flock Detection in Pedestrian Trajectories Using Sequential Deep Learning Models—0
Real-time Prediction of Segmentation Quality—0
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines—0
Recognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques—0
Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks—0
Reconstructing Training Data from Multiclass Neural Networks—0
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis—0
Reducing Intraspecies and Interspecies Covariate Shift in Traumatic Brain Injury EEG of Humans and Mice Using Transfer Euclidean Alignment—0
Reducing statistical time-series problems to binary classification—0
Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation—0
Regression with Cost-based Rejection—0
Regularized Linear Regression for Binary Classification—0
Related Named Entities Classification in the Economic-Financial Context—0
Relative intrinsic dimensionality is intrinsic to learning—0
Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text—0
Reliable Detection of Compressed and Encrypted Data—0
Representer Point Selection for Explaining Regularized High-dimensional Models—0
ResDTA: Predicting Drug-Target Binding Affinity Using Residual Skip Connections—0
Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification—0
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods—0
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis—0
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification—0
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning—0
Retraining with Predicted Hard Labels Provably Increases Model Accuracy—0
Retrieval-Augmented Mining of Temporal Logic Specifications from Data—0
Retrieval-based Text Selection for Addressing Class-Imbalanced Data in Classification—0
Reverse Engineering and Symbolic Knowledge Extraction on Łukasiewicz Fuzzy Logics using Linear Neural Networks—0
Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator—0
A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers—0
Apple Tasting: Combinatorial Dimensions and Minimax Rates—0
Revolutionizing Wildfire Detection with Convolutional Neural Networks: A VGG16 Model Approach—0
RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images—0
Risk-Averse Classification—0
Risk bounds for PU learning under Selected At Random assumption—0
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm—0
RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data—0
RNN for Affects at SemEval-2018 Task 1: Formulating Affect Identification as a Binary Classification Problem—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.98—Unverified
2LightGBM + OpenAI embeddingAUROC0.97—Unverified
3FTTransformer + RoBERTa fintuneAUROC0.96—Unverified
4LightGBM + RoBERTa embeddingAUROC0.95—Unverified
5FTTransformer + RoBERTa embeddingAUROC0.94—Unverified
6ResNet + RoBERTa embeddingAUROC0.93—Unverified
7ResNet + OpenAI embeddingAUROC0.92—Unverified
8FTTransformer + OpenAI embeddingAUROC0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.81—Unverified
2Multimodal-Net All-TextAUROC0.8—Unverified
3ResNet + RoBERTa finetuneAUROC0.79—Unverified
4LightGBM + RoBERTa embeddingAUROC0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Attention based CNNF1 score0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostF1-Score98.79—Unverified